Cargando…
Individual Differences in CD4/CD8 T-Cell Ratio Trajectories and Associated Risk Profiles Modeled From Acute HIV Infection
OBJECTIVE: We examined individual differences in CD4/CD8 T-cell ratio trajectories and associated risk profiles from acute HIV infection (AHI) through 144 weeks of antiretroviral therapy (ART) using a data-driven approach. METHODS: A total of 483 AHI participants began ART during Fiebig I–V and comp...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553252/ https://www.ncbi.nlm.nih.gov/pubmed/36162059 http://dx.doi.org/10.1097/PSY.0000000000001129 |
_version_ | 1784806427614773248 |
---|---|
author | Paul, Robert Cho, Kyu Bolzenius, Jacob Sacdalan, Carlo Ndhlovu, Lishomwa C. Trautmann, Lydie Krebs, Shelly Tipsuk, Somporn Crowell, Trevor A. Suttichom, Duanghathai Colby, Donn J. Premeaux, Thomas A. Phanuphak, Nittaya Chan, Phillip Kroon, Eugène Vasan, Sandhya Hsu, Denise Carrico, Adam Valcour, Victor Ananworanich, Jintanat Robb, Merlin L. Ake, Julie A. Sriplienchan, Somchai Spudich, Serena |
author_facet | Paul, Robert Cho, Kyu Bolzenius, Jacob Sacdalan, Carlo Ndhlovu, Lishomwa C. Trautmann, Lydie Krebs, Shelly Tipsuk, Somporn Crowell, Trevor A. Suttichom, Duanghathai Colby, Donn J. Premeaux, Thomas A. Phanuphak, Nittaya Chan, Phillip Kroon, Eugène Vasan, Sandhya Hsu, Denise Carrico, Adam Valcour, Victor Ananworanich, Jintanat Robb, Merlin L. Ake, Julie A. Sriplienchan, Somchai Spudich, Serena |
author_sort | Paul, Robert |
collection | PubMed |
description | OBJECTIVE: We examined individual differences in CD4/CD8 T-cell ratio trajectories and associated risk profiles from acute HIV infection (AHI) through 144 weeks of antiretroviral therapy (ART) using a data-driven approach. METHODS: A total of 483 AHI participants began ART during Fiebig I–V and completed follow-up evaluations for 144 weeks. CD4+, CD8+, and CD4/CD8 T-cell ratio trajectories were defined followed by analyses to identify associated risk variables. RESULTS: Participants had a median viral load (VL) of 5.88 copies/ml and CD4/CD8 T-cell ratio of 0.71 at enrollment. After 144 weeks of ART, the median CD4/CD8 T-cell ratio was 1.3. Longitudinal models revealed five CD4/CD8 T-cell ratio subgroups: group 1 (3%) exhibited a ratio >1.0 at all visits; groups 2 (18%) and 3 (29%) exhibited inversion at enrollment, with normalization 4 and 12 weeks after ART, respectively; and groups 4 (31%) and 5 (18%) experienced CD4/CD8 T-cell ratio inversion due to slow CD4+ T-cell recovery (group 4) or high CD8+ T-cell count (group 5). Persistent inversion corresponded to ART onset after Fiebig II, higher VL, soluble CD27 and TIM-3, and lower eosinophil count. Individuals with slow CD4+ T-cell recovery exhibited higher VL, lower white blood cell count, lower basophil percent, and treatment with standard ART, as well as worse mental health and cognition, compared with individuals with high CD8+ T-cell count. CONCLUSIONS: Early HIV disease dynamics predict unfavorable CD4/CD8 T-cell ratio outcomes after ART. CD4+ and CD8+ T-cell trajectories contribute to inversion risk and correspond to specific viral, immune, and psychological profiles during AHI. Adjunctive strategies to achieve immune normalization merit consideration. |
format | Online Article Text |
id | pubmed-9553252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-95532522022-10-19 Individual Differences in CD4/CD8 T-Cell Ratio Trajectories and Associated Risk Profiles Modeled From Acute HIV Infection Paul, Robert Cho, Kyu Bolzenius, Jacob Sacdalan, Carlo Ndhlovu, Lishomwa C. Trautmann, Lydie Krebs, Shelly Tipsuk, Somporn Crowell, Trevor A. Suttichom, Duanghathai Colby, Donn J. Premeaux, Thomas A. Phanuphak, Nittaya Chan, Phillip Kroon, Eugène Vasan, Sandhya Hsu, Denise Carrico, Adam Valcour, Victor Ananworanich, Jintanat Robb, Merlin L. Ake, Julie A. Sriplienchan, Somchai Spudich, Serena Psychosom Med Original Articles OBJECTIVE: We examined individual differences in CD4/CD8 T-cell ratio trajectories and associated risk profiles from acute HIV infection (AHI) through 144 weeks of antiretroviral therapy (ART) using a data-driven approach. METHODS: A total of 483 AHI participants began ART during Fiebig I–V and completed follow-up evaluations for 144 weeks. CD4+, CD8+, and CD4/CD8 T-cell ratio trajectories were defined followed by analyses to identify associated risk variables. RESULTS: Participants had a median viral load (VL) of 5.88 copies/ml and CD4/CD8 T-cell ratio of 0.71 at enrollment. After 144 weeks of ART, the median CD4/CD8 T-cell ratio was 1.3. Longitudinal models revealed five CD4/CD8 T-cell ratio subgroups: group 1 (3%) exhibited a ratio >1.0 at all visits; groups 2 (18%) and 3 (29%) exhibited inversion at enrollment, with normalization 4 and 12 weeks after ART, respectively; and groups 4 (31%) and 5 (18%) experienced CD4/CD8 T-cell ratio inversion due to slow CD4+ T-cell recovery (group 4) or high CD8+ T-cell count (group 5). Persistent inversion corresponded to ART onset after Fiebig II, higher VL, soluble CD27 and TIM-3, and lower eosinophil count. Individuals with slow CD4+ T-cell recovery exhibited higher VL, lower white blood cell count, lower basophil percent, and treatment with standard ART, as well as worse mental health and cognition, compared with individuals with high CD8+ T-cell count. CONCLUSIONS: Early HIV disease dynamics predict unfavorable CD4/CD8 T-cell ratio outcomes after ART. CD4+ and CD8+ T-cell trajectories contribute to inversion risk and correspond to specific viral, immune, and psychological profiles during AHI. Adjunctive strategies to achieve immune normalization merit consideration. Lippincott Williams & Wilkins 2022-10 2022-07-06 /pmc/articles/PMC9553252/ /pubmed/36162059 http://dx.doi.org/10.1097/PSY.0000000000001129 Text en Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Psychosomatic Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Original Articles Paul, Robert Cho, Kyu Bolzenius, Jacob Sacdalan, Carlo Ndhlovu, Lishomwa C. Trautmann, Lydie Krebs, Shelly Tipsuk, Somporn Crowell, Trevor A. Suttichom, Duanghathai Colby, Donn J. Premeaux, Thomas A. Phanuphak, Nittaya Chan, Phillip Kroon, Eugène Vasan, Sandhya Hsu, Denise Carrico, Adam Valcour, Victor Ananworanich, Jintanat Robb, Merlin L. Ake, Julie A. Sriplienchan, Somchai Spudich, Serena Individual Differences in CD4/CD8 T-Cell Ratio Trajectories and Associated Risk Profiles Modeled From Acute HIV Infection |
title | Individual Differences in CD4/CD8 T-Cell Ratio Trajectories and Associated Risk Profiles Modeled From Acute HIV Infection |
title_full | Individual Differences in CD4/CD8 T-Cell Ratio Trajectories and Associated Risk Profiles Modeled From Acute HIV Infection |
title_fullStr | Individual Differences in CD4/CD8 T-Cell Ratio Trajectories and Associated Risk Profiles Modeled From Acute HIV Infection |
title_full_unstemmed | Individual Differences in CD4/CD8 T-Cell Ratio Trajectories and Associated Risk Profiles Modeled From Acute HIV Infection |
title_short | Individual Differences in CD4/CD8 T-Cell Ratio Trajectories and Associated Risk Profiles Modeled From Acute HIV Infection |
title_sort | individual differences in cd4/cd8 t-cell ratio trajectories and associated risk profiles modeled from acute hiv infection |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553252/ https://www.ncbi.nlm.nih.gov/pubmed/36162059 http://dx.doi.org/10.1097/PSY.0000000000001129 |
work_keys_str_mv | AT paulrobert individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT chokyu individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT bolzeniusjacob individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT sacdalancarlo individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT ndhlovulishomwac individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT trautmannlydie individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT krebsshelly individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT tipsuksomporn individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT crowelltrevora individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT suttichomduanghathai individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT colbydonnj individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT premeauxthomasa individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT phanuphaknittaya individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT chanphillip individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT krooneugene individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT vasansandhya individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT hsudenise individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT carricoadam individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT valcourvictor individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT ananworanichjintanat individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT robbmerlinl individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT akejuliea individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT sriplienchansomchai individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection AT spudichserena individualdifferencesincd4cd8tcellratiotrajectoriesandassociatedriskprofilesmodeledfromacutehivinfection |